Impact of iron availability on fecal microcosms: modeling the effect of diet on microbial symbiotic populations Kelli L. Palmer MBL Microbial Diversity 2008 Abstract: The human body plays host to a diverse community of microbial symbionts. The intestinal symbiotic community in particular is critical for bodily function, shaping immune system development in infancy and nutrient adsorption processes throughout life. Both the human body and its symbionts require iron, a necessary cofactor for many metabolic processes. It is likely that the main source of iron for intestinal symbionts is excess dietary iron that passes through the intestine during digestion. Thus, dietary iron intake has the potential to significantly impact microbial community structure in the intestine. In this study, the hypothesis that available iron impacts intestinal community structure was tested. Anaerobic fecal microcosms were used to model the intestinal environment, and varying iron or chelator treatments were used to model host dietary changes. Restriction fragment length polymorphism (RFLP) profiles of amplified bacterial 16S rDNA genes indicate that iron availability does not have a significant impact on symbiotic community structure. These results suggest that the intestinal microbial community is resilient in the face of marked dietary fluctuations. Introduction Iron is a required nutrient for almost every form of life on the planet. Many metabolic enzymes (metalloenzymes) require iron as a cofactor, thus iron availability can govern an organism’s metabolic potential. Conversely, and perhaps paradoxically, excess iron is exceedingly toxic to aerobic organisms, as iron and molecular oxygen can interact to form highly reactive oxygen radicals capable of damaging nucleic acids and other cellular constituents 1. For these reasons, iron uptake and cellular iron pools are tightly regulated in aerobic organisms. This includes the human body, where proteins such as transferrin and lactoferrin circulate throughout the body, tightly binding excess iron where appropriate and distributing it where needed. Interestingly, it is thought that one of the primary innate immune defenses of the human body is iron sequestration by proteins such as transferrin, as most invading pathogens will require iron for rapid growth during infection 2. How does the human body regulate iron levels in order to simultaneously provide enough for cellular processes as well as prevent potential toxic iron effects and cheating by invading pathogens? Iron is lost continually by the body through sloughing of dead cells (0.5-2 mg per day), thus new iron must be input into the system. This occurs through the diet. In fact, iron levels in the human body are regulated solely at the level of dietary intake, as there is no active mechanism for iron efflux. Cells lining the small intestine take up iron from dietary constituents by enzymatically reducing ferric iron (thought to be the major form of iron in foods) to ferrous iron, which can then be transported inside the cell. Other mechanisms of iron uptake, such as heme transport, have also been documented. Excess iron in the diet remains in the small intestine and passes through the remainder of the gastrointestinal tract to be excreted with other fecal matter 3. The amount of dietary iron intake and fecal iron excretion in healthy individuals is correlated 4. While tight regulation of iron uptake and cellular iron pools can help the human body fight infections by pathogenic microbes, other microbes may be significantly affected by these efforts: the human microbiome. We now know that the human body plays host to a diverse community of microbes that shape development and critical bodily functions. Arguably one of the most important and well studied of these is the intestinal community, where ~1014 microbes can reside 5 . Maintenance of the intestinal microbiome may be critical for health, as evidence mounts that this community can shape immune system development 6 as well as prevent inflammatory bowel diseases 7 and promote obesity 8. What are the potential sources of iron for the intestinal community? The major source of iron is likely to be excess iron that is not absorbed from the diet—the ‘leftovers.’ Thus, fluxes in dietary iron intake have the potential to significantly impact intestinal microbiome structure. In this study, the hypothesis that dietary iron levels impact intestinal microbial community structure was tested. Materials and Methods Anaerobic microcosms. Anaerobic media were prepared as follows. For freshwater base and vitamin mix components, see Microbial Diversity 2008 laboratory manual. Base medium (1 mL 0.1% rezasurin; 10 mL 100X freshwater base; 1 mL 1000X vitamin mix; 1 mL 1000X vitamin B12 mix; 20 mL 1 M MOPS, pH 7.2; 5 mL 1 M NH4Cl; 5 g tryptone; 5.88 g NaHCO3; 940 mL double distilled water) was boiled in a round-bottom flask under a constant flow of 80:20 N2:CO2 gas for 15 min. The mixture was allowed to cool under gas flow, and then tightly capped. In the anaerobic chamber, 48.5 mg cysteine, 2 mL 0.2 M Na2S, and 1 mL 1 M potassium phosphate buffer, pH 6.8, was added. After incubation with occasional mixing for 30 min, 30 mL media were dispensed into anaerobic bottles, sealed, and autoclaved for 45 min. After autoclaving, 0.6 mL of a 0.5 M anaerobic glucose stock was added to all bottles. For some bottles, 0.3 mL of a 10.37 mM anaerobic ferrous sulfate stock, 0.3 mL of a 10.37 mM anaerobic ferric citrate stock, or 0.5 mL of an 18.27 mM anaerobic deferoxamine stock was added. Sterile, anaerobic double distilled water was used to balance volumes in all bottles. Microcosms were inoculated under a flow of 80:20 N2:CO2 gas with fresh fecal material (~100 !L) collected clean-catch from a healthy volunteer and were incubated at 37"C without shaking. Microcosms were performed in triplicate for each treatment. RFLP. At 8 h, 48 h, and 7 days post-inoculation, approximately 1 mL sample was removed from microcosms and stored at -80"C prior to analysis. Total genomic DNA was isolated from duplicate microcosm samples (for a total of 8 samples per timepoint) using the PowerSoil DNA isolation kit (MoBio Labs). Samples were eluted in sterile, double distilled water, and 2 !L each were subsequently used in a standard 25 !L PCR reaction using 15 pmol each 8F and 1492R universal eubacterial primers and 2X master mix (Promega). PCR reactions were denatured at 95"C for 5 min, cycled [95"C, 30 s; 46"C, 30 s; 72"C, 90 s] 30 times, and extended at 72"C for 5 min. Genomic DNA yields were roughly equivalent for all samples (data not shown). PCR products were confirmed by agarose gel electrophoresis and purified using a QiaQuick PCR purification kit (Qiagen). For each sample, 500 ng PCR product was used in a 30 !L final reaction volume with 1 !L MspI (New England Biolabs). Restriction digests were incubated at 37"C for 1-3 h and were analyzed by electrophoresis on 1% agarose gels. Ferrozine assay. At 7 days post-inoculation, ~250 !L from each microcosm was sampled and immediately diluted 1:1 in an equal volume 0.5 N HCl. Diluted, acidified samples were centrifuged at 10,000 x g for 10 minutes to pellet cell debris, and 20 !L supernatant from each sample was used for analysis by the ferrozine assay as follows. Ferrozine assay buffer (1 g/L ferrozine in 49 mM HEPES buffer, pH 7.0) was brought to room temperature and 980 !L were dispensed into Eppendorf tubes. Twenty !L standard (0.05, 0.1, 0.2, 0.4 or 0.8 mM acidified ferrous ethylene diammonium sulfate) or test sample was added, and the reaction was allowed to proceed at room temperature for 5 min before absorbance was measured at 562 nm. Results Modeling dietary changes in the intestinal environment. To test the hypothesis that dietary iron fluxes impact intestinal microbial community structure, an appropriate intestinal model was required. For this purpose I chose anaerobic fecal microcosms. The medium used for the fecal microcosms consisted of a buffered salts base with 0.5% tryptone (amino acids) and 10 mM glucose added as carbon sources. Vitamins were also added to supplement growth. For control microcosms, no iron was added. Three experimental treatments were used to mimic various dietary changes: 100 !M ferrous sulfate, 100 !M ferric citrate, and 300 !M deferoxamine (an iron chelator). RFLP profiles of fecal microcosms. After 8 h incubation at 37"C, all fecal microcosms, independent of treatment, were turbid. RFLP profiles of 8 h microcosm communities showed no obvious differences between treatments (Figure 1). After 48 h incubation, RFLP profiles from all treatments showed additional bands between 510 and 1020 base pair DNA markers (Figure 2), indicating that a subpopulation of the initial inoculum had grown to detection by this method. No striking differences between treatments were observed although abundance of bands near the 300 base pair marker in ferric citrate-treated microcosms appeared to deviate from that of other treatments. After 7 d incubation, RFLP profiles of ferric citrate-treated microcosms indicated that one or more bacterial species within in the microcosms had decreased in abundance relative to other treatments, while one or more bacterial species increased in abundance (Figure 3). These results suggest that the presence of ferric citrate influenced fecal microcosm community structure. Microscopy of all fecal microcosms revealed a diversity of cell types, including short and long nonmotile rods, motile rods, and cocci (data not shown). No cell morphologies dominated fecal microcosms with different treatments, and no obvious differences were observed microscopically amongst different treatments. Iron levels in fecal microcosms. To confirm that varying iron levels were present in fecal microcosms, the ferrozine assay was used to measure iron levels in these cultures. Ferrozine forms a stable complex with ferrous iron, producing a magenta color that can be measured spectrophotometrically. Samples from 7 d microcosms were used in the ferrozine assay. Results are summarized in Table 1. Unfortunately, only samples from ferrous sulfate treated microcosms fell within the standard curve generated. However, some data can be inferred, including the relative abundance of iron in the ferric citrate treated microcosms compared to the control and deferoxamine treated microcosms. Discussion In this study, fecal microcosms were used to model the human intestine, and varying microcosm treatments were used to mimic dietary flux in iron intake. I chose to use ferrous sulfate and ferric citrate to mimic dietary iron, as these iron complexes are commonly used as dietary supplements and can be found in foodstuffs such as fortified cereals. It is important to note that citrate is a carbon source that could potentially affect community structure; however, the concentration used in this study (100 !M) was low and was thus unlikely to significantly impact ferric citrate treated communities. The iron chelator deferoxamine was also chosen as a treatment as this chelator is commonly used in clinical therapies to treat iron overload syndromes such as haemochromatosis. Chelation of dietary or bodily iron could also impact intestinal community structure. It is clear from 8 h RFLP data that the intestinal population that grew rapidly in fresh fecal microcosms was impervious to the amount of iron available. First, there appeared to be no effect of excess iron (ferrous or ferric) on microcosm community structure. Addition of the chelator deferoxamine, intended to create an iron-limited environment, also had no effect. It is possible that the concentration of deferoxamine used in this study (300 !M), used in a previous study to inhibit aerobic growth of several bacterial species 9, is not sufficient to create an anaerobic iron-limited environment. It is also important to note that a RFLP profile was not performed on the original fecal inoculum, which would have given some information on the structure of the original fecal community. Comparison of this RFLP with the 8 h RFLP data would have indicated the extent of enrichment imposed on the community by my experimental conditions. Data from 48 h and especially 7 d RFLP profiles show that there is some effect of ferric citrate on fecal microcosm community structure. I question the relevance of the 7 d data as this period of incubation does not accurately reflect retention times of fecal material in the intestine. In addition, high performance liquid chromatography analysis of culture supernatants from 7 d microcosms indicated that microcosm fermentation products were uniform across treatments (data not shown). Collectively, these data suggest that there is little effect of dietary iron on intestinal communities. Interestingly, methane was produced by fecal microcosms (data not shown). In the future, it would be interesting to see the effect of varying iron on archaeal populations in the intestine, as methanogenic archaea are known for their remarkably high number of iron-sulfur clusters 10 . In addition, given the stability of the in vitro fecal microcosms, it would also be interesting to spike in ‘outsiders,’ like Escherichia coli O157 or Vibrio cholerae and examine their ability to compete with the resident community for iron. However, if these studies are to be pursued in the future, it will be important to sample additional individuals for fecal microcosm inocula as well as include RFLP analyses of initial inocula. Acknowledgements All the class and TAs. You are awesome!! And thanks to Bill and Tom—I suspect the MBL won’t be the same without you. References 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Imlay, J.A. Iron-sulphur clusters and the problem with oxygen. Mol Microbiol 59, 1073-82 (2006). Bullen, J.J., Rogers, H.J., Spalding, P.B. & Ward, C.G. Natural resistance, iron and infection: a challenge for clinical medicine. J Med Microbiol 55, 251-8 (2006). Sharp, P. & Srai, S.K. Molecular mechanisms involved in intestinal iron absorption. World J Gastroenterol 13, 4716-24 (2007). Swain, J.H., Johnson, L.K. & Hunt, J.R. Electrolytic iron or ferrous sulfate increase body iron in women with moderate to low iron stores. J Nutr 137, 620-7 (2007). Sonnenburg, J.L., Angenent, L.T. & Gordon, J.I. Getting a grip on things: how do communities of bacterial symbionts become established in our intestine? Nat Immunol 5, 569-73 (2004). Mazmanian, S.K., Liu, C.H., Tzianabos, A.O. & Kasper, D.L. An immunomodulatory molecule of symbiotic bacteria directs maturation of the host immune system. Cell 122, 107-18 (2005). Mazmanian, S.K., Round, J.L. & Kasper, D.L. A microbial symbiosis factor prevents intestinal inflammatory disease. Nature 453, 620-5 (2008). Turnbaugh, P.J. et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 444, 1027-31 (2006). van Asbeck, B.S. et al. Inhibition of bacterial multiplication by the iron chelator deferoxamine: potentiating effect of ascorbic acid. Eur J Clin Microbiol 2, 426-31 (1983). Major, T.A., Burd, H. & Whitman, W.B. Abundance of 4Fe-4S motifs in the genomes of methanogens and other prokaryotes. FEMS Microbiol Lett 239, 11723 (2004). Figure 1. 1 2 3 4 1640 1020 510 300 Figure 1. RFLP profile of 8 h fecal microcosm samples. Shown are MspI digestion patterns for bacterial 16S rDNA amplified from control (1), ferrous sulfate (2), ferric citrate (3) and deferoxamine (4) treated fecal microcosms. Only one replicate is shown for ferric citrate microcosms. Numbers on the left indicate DNA ladder reference sizes in base pairs. Figure 2. 1 2 3 4 1640 1020 510 300 Figure 2. RFLP profile of 48 h fecal microcosm samples. Shown are MspI digestion patterns for bacterial 16S rDNA amplified from control (1), ferrous sulfate (2), ferric citrate (3) and deferoxamine (4) treated fecal microcosms. Numbers on the left indicate DNA ladder reference sizes in base pairs. Figure 3. 1 2 3 4 1640 1020 510 300 Figure 3. RFLP profile of 7 d fecal microcosm samples. Shown are MspI digestion patterns for bacterial 16S rDNA amplified from control (1), ferrous sulfate (2), ferric citrate (3) and deferoxamine (4) treated fecal microcosms. Numbers on the left indicate DNA ladder reference sizes in base pairs. Table 1. Sample OD562nm Standard 1 Standard 2 Standard 3 Standard 4 Standard 5 0.03 0.065 0.109 0.222 0.447 Control-1 Control-2 Control-3 Fe (II)-1 Fe (II)-2 Fe (II)-3 Fe (III)-1 Fe (III)-2 Fe (III)-3 Deferox-1 Deferox-2 Deferox-3 0.004 0.009 0.008 0.033 0.033 0.03 0.024 0.024 0.022 0.008 0.007 0.007 [Fe] (!M) 50 100 200 400 800 ~13 !M ~100 !M ~75 !M ~13 !M Table 1. Iron levels in 7 d fecal microcosms. Iron levels were measured in fecal microcosms by the ferrozine assay (see methods). Values for ferrous iron standards are shown and amounts of ferrous iron in microcosms were calculated from the standard curve generated (y = 0.5526x + 0.033; R2 = 0.9994). Samples within the standard curve are highlighted in bold, italic text. Ferrozine assay buffer alone was used as a blank.
© Copyright 2026 Paperzz